Discovering Flow Graphs from Data Tables Using the Classification and Prediction Software System (CLAPSS)

摘要

In the paper, theoretical background, as well as practical implementation, of discovering flow graphs (both fuzzy and rough set) from data tables are presented. We assume that data tables represent information/decision systems in the Pawlak's sense. The implementation was made in a software tool called the Classification and Prediction Software System (CLAPSS). CLAPSS is a tool developed in the Java technology for solving different classification and prediction problems using, among others, some specialized approaches based mainly on fuzzy sets and rough sets. In general, those specialized approaches implemented in CLAPSS are not available in other tools.